Yan Cao

Affiliations:
  • Shenzhen RayShape Medical Technology Co., Ltd, , China
  • Shenzhen University, School of Biomedical Engineering, Health Science Center, Medical UltraSound Image Computing (MUSIC) Lab, China


According to our database1, Yan Cao authored at least 13 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
MoNetV2: Enhanced Motion Network for Freehand 3D Ultrasound Reconstruction.
CoRR, June, 2025

Flip Learning: Weakly Supervised Erase to Segment Nodules in Breast Ultrasound.
CoRR, March, 2025

Enhancing lesion detection in automated breast ultrasound using unsupervised multi-view contrastive learning with 3D DETR.
Medical Image Anal., 2025

2024
FetusMapV2: Enhanced fetal pose estimation in 3D ultrasound.
Medical Image Anal., January, 2024

Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training.
CoRR, 2024

Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training.
Comput. Biol. Medicine, 2024

Robust Box Prompt Based SAM for Medical Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

A Foundation Model for General Moving Object Segmentation in Medical Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
FetusMapV2: Enhanced Fetal Pose Estimation in 3D Ultrasound.
CoRR, 2023

FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

2022
Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip.
IEEE J. Biomed. Health Informatics, 2022

Online Reflective Learning for Robust Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021


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